tests/testthat/_snaps/model_parameters.fixest_multi.md

In easystats/parameters: Processing of Model Parameters

model_parameters.fixest_multi

Code
  print(model_parameters(mod))
Output
  # Petal.Width ~ x

  Parameter | Coefficient |   SE |        95% CI | t(2) |     p
  -------------------------------------------------------------
  x         |        0.02 | 0.02 | [-0.06, 0.09] | 0.91 | 0.459

  # Sepal.Width ~ x

  Parameter | Coefficient |   SE |        95% CI | t(2) |     p
  -------------------------------------------------------------
  x         |        0.05 | 0.06 | [-0.22, 0.31] | 0.74 | 0.534

  # Petal.Width ~ x + Petal.Length

  Parameter    | Coefficient |   SE |        95% CI | t(2) |     p
  ----------------------------------------------------------------
  x            |        0.01 | 0.02 | [-0.07, 0.10] | 0.73 | 0.541
  Petal.Length |        0.23 | 0.07 | [-0.07, 0.53] | 3.34 | 0.079

  # Sepal.Width ~ x + Petal.Length

  Parameter    | Coefficient |   SE |        95% CI | t(2) |     p
  ----------------------------------------------------------------
  x            |        0.04 | 0.06 | [-0.22, 0.31] | 0.71 | 0.553
  Petal.Length |        0.30 | 0.06 | [ 0.05, 0.54] | 5.15 | 0.036

  # Petal.Width ~ x + Petal.Length + Sepal.Length

  Parameter    | Coefficient |   SE |        95% CI |  t(2) |     p
  -----------------------------------------------------------------
  x            |        0.01 | 0.02 | [-0.07, 0.10] |  0.74 | 0.539
  Petal.Length |        0.23 | 0.08 | [-0.11, 0.58] |  2.93 | 0.099
  Sepal.Length |   -4.24e-03 | 0.03 | [-0.14, 0.13] | -0.13 | 0.906

  # Sepal.Width ~ x + Petal.Length + Sepal.Length

  Parameter    | Coefficient |   SE |        95% CI |  t(2) |     p
  -----------------------------------------------------------------
  x            |        0.03 | 0.04 | [-0.15, 0.22] |  0.81 | 0.502
  Petal.Length |       -0.04 | 0.19 | [-0.85, 0.78] | -0.20 | 0.858
  Sepal.Length |        0.37 | 0.20 | [-0.49, 1.23] |  1.86 | 0.205
Message

  Uncertainty intervals (equal-tailed) and p-values (two-tailed) computed
    using a Wald t-distribution approximation.

Code
  print(ci(mod))
Output
        Parameter   CI      CI_low    CI_high    Response
  1             x 0.95 -0.06044147 0.09280643 Petal.Width
  2             x 0.95 -0.06835071 0.09635073 Petal.Width
  3  Petal.Length 0.95 -0.06642354 0.52593096 Petal.Width
  4             x 0.95 -0.06835856 0.09655518 Petal.Width
  5  Petal.Length 0.95 -0.10895767 0.57612928 Petal.Width
  6  Sepal.Length 0.95 -0.14108092 0.13259825 Petal.Width
  7             x 0.95 -0.22113283 0.31370225 Sepal.Width
  8             x 0.95 -0.22124463 0.30818414 Sepal.Width
  9  Petal.Length 0.95  0.04898068 0.54369328 Sepal.Width
  10            x 0.95 -0.14997065 0.21974036 Sepal.Width
  11 Petal.Length 0.95 -0.85203579 0.77537142 Sepal.Width
  12 Sepal.Length 0.95 -0.48871075 1.22952907 Sepal.Width
                               Group
  1                                x
  2                 x + Petal.Length
  3                 x + Petal.Length
  4  x + Petal.Length + Sepal.Length
  5  x + Petal.Length + Sepal.Length
  6  x + Petal.Length + Sepal.Length
  7                                x
  8                 x + Petal.Length
  9                 x + Petal.Length
  10 x + Petal.Length + Sepal.Length
  11 x + Petal.Length + Sepal.Length
  12 x + Petal.Length + Sepal.Length

Code
  print(model_parameters(mod))
Output
  # Petal.Width response

  Parameter    | Coefficient |   SE |        95% CI | t(2) |     p
  ----------------------------------------------------------------
  x            |        0.01 | 0.02 | [-0.07, 0.10] | 0.73 | 0.541
  Petal Length |        0.23 | 0.07 | [-0.07, 0.53] | 3.34 | 0.079

  # Sepal.Width response

  Parameter    | Coefficient |   SE |        95% CI | t(2) |     p
  ----------------------------------------------------------------
  x            |        0.04 | 0.06 | [-0.22, 0.31] | 0.71 | 0.553
  Petal Length |        0.30 | 0.06 | [ 0.05, 0.54] | 5.15 | 0.036
Message

  Uncertainty intervals (equal-tailed) and p-values (two-tailed) computed
    using a Wald t-distribution approximation.

Code
  print(ci(mod))
Output
       Parameter   CI      CI_low    CI_high    Response
  1            x 0.95 -0.06835071 0.09635073 Petal.Width
  2 Petal.Length 0.95 -0.06642354 0.52593096 Petal.Width
  3            x 0.95 -0.22124463 0.30818414 Sepal.Width
  4 Petal.Length 0.95  0.04898068 0.54369328 Sepal.Width

Code
  print(model_parameters(mod))
Output
  # x

  Parameter | Coefficient |   SE |        95% CI | t(2) |     p
  -------------------------------------------------------------
  x         |        0.02 | 0.02 | [-0.06, 0.09] | 0.91 | 0.459

  # x + Petal.Length

  Parameter    | Coefficient |   SE |        95% CI | t(2) |     p
  ----------------------------------------------------------------
  x            |        0.01 | 0.02 | [-0.07, 0.10] | 0.73 | 0.541
  Petal.Length |        0.23 | 0.07 | [-0.07, 0.53] | 3.34 | 0.079

  # x + Petal.Length + Sepal.Length

  Parameter    | Coefficient |   SE |        95% CI |  t(2) |     p
  -----------------------------------------------------------------
  x            |        0.01 | 0.02 | [-0.07, 0.10] |  0.74 | 0.539
  Petal.Length |        0.23 | 0.08 | [-0.11, 0.58] |  2.93 | 0.099
  Sepal.Length |   -4.24e-03 | 0.03 | [-0.14, 0.13] | -0.13 | 0.906
Message

  Uncertainty intervals (equal-tailed) and p-values (two-tailed) computed
    using a Wald t-distribution approximation.

Code
  print(ci(mod))
Output
       Parameter   CI      CI_low    CI_high                           Group
  1            x 0.95 -0.06044147 0.09280643                               x
  2            x 0.95 -0.06835071 0.09635073                x + Petal.Length
  3 Petal.Length 0.95 -0.06642354 0.52593096                x + Petal.Length
  4            x 0.95 -0.06835856 0.09655518 x + Petal.Length + Sepal.Length
  5 Petal.Length 0.95 -0.10895767 0.57612928 x + Petal.Length + Sepal.Length
  6 Sepal.Length 0.95 -0.14108092 0.13259825 x + Petal.Length + Sepal.Length

easystats/parameters documentation built on April 27, 2024, 7:28 p.m.